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===소스===
 
===소스===
 
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==메타데이터==
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===위키데이터===
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* ID :  [https://www.wikidata.org/wiki/Q961691 Q961691]
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===Spacy 패턴 목록===
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* [{'LEMMA': 'Kademlia'}]

2021년 2월 17일 (수) 01:52 기준 최신판

노트

  • Peers typically either are pinged through a call of (*Protocol).Ping, or in amidst the execution of Kademlia's peer eviction policy.[1]
  • Kademlia is a peer-to-peer distributed hash table.[2]
  • Kademlia implements the “put” and “get” operations of an efficiently scalable hash table without using any centralized service.[2]
  • Kademlia use a XOR metric distance which is the bitwise XOR performed on the ids.[3]
  • Kademlia nodes communicate among themselves using UDP.[4]
  • Kademlia uses a "distance" calculation between two nodes.[4]
  • Kademlia uses an XOR metric to define distance.[4]
  • The XOR metric allows Kademlia to extend routing tables beyond single bits.[4]
  • Kademlia and Chord is two of the most popular Distributed Hash Table (DHT) algorithm in P2P network.[5]
  • In this paper we discussed how does Kademlia and Chord functions and what improvement on the two DHT have been done and how it is done.[5]
  • This library is an asynchronous Python implementation of the Kademlia distributed hash table.[6]
  • So how does Kademlia implement a distributed hash table?[7]
  • Using Kademlia, each row of routing tables will consist of peers whose distances are within the same range.[7]
  • Kademlia is a DHT for decentralized peer to peer computer networks.[8]
  • Because of this statistical distribution, Kademlia selects long connected nodes to remain stored in the k-buckets.[8]
  • Kademlia uses a X-OR metric to define distance.[8]
  • By making Kademlia keyword searches, one can find information in the Distributed Storage network so it can be downloaded.[8]
  • Because of this, pure Kademlia isn't best suited to finding just a single node, so I'm not sure that part of your question is too relevant.[9]
  • kademlia-dht is implemented with Node.js, but does not depend on system resources, like the network.[10]
  • Lookup Lookup is the procedure used by Kademlia to find a value for a given key.[11]
  • Kademlia has several that make it a preferred choice of DHT.[11]
  • In Kademlia, nodes store contact information about each other for routing query messages.[11]
  • When updating the k-bucket, there are three scenarios:There are two benefits of Kademlia’s k-buckets.[11]
  • Implications of such modifications are discussed and the modified Kademlia is compared against the original Kademlia algorithm.[12]
  • This project is a faithfully implementation of the Kademlia distributed hash table (DHT) routing algorithm.[13]
  • A flexible implementation of the Kademlia distributed hash table.[14]
  • In basic Kademlia, each node chooses its own ID by some unspecified quasi-random procedure.[15]
  • Note Kademlia follows Pastry in interpreting keys (including nodeIDs) as bigendian numbers.[15]
  • This section describes the algorithm that Kademlia uses for locating the k nodes nearest to a key.[15]
  • Alpha and Parallelism Kademlia uses a value of 3 for alpha, the degree of parallelism used.[15]
  • While the XOR metric is not needed to understand Kademlia, it is critical in the analysis of the protocol.[16]
  • With KadC a C library for handling its Kademlia is available.[17]
  • Kademlia treats each node on a network as a leaf on a binary tree.[18]
  • To assign key-value pairs to particular nodes, Kademlia relies on a notion of distance between two identifiers.[18]
  • One of the best ways to learn more about Kademlia is to see it in action.[18]
  • Hopefully this post acts as a good overview of Kademlia and its application in modern distributed platforms.[18]

소스

메타데이터

위키데이터

Spacy 패턴 목록

  • [{'LEMMA': 'Kademlia'}]